NDLI: Corneal deformation dynamics in normal and glaucoma patients utilizing scheimpflug imaging

Content Provider	IEEE Xplore Digital Library
Author	Rogowska, M.E. Iskander, D.R.
Copyright Year	2015
Description	Author affiliation: Dept. of Biomed. Eng., Wroclaw Univ. of Technol., Wroclaw, Poland (Rogowska, M.E.; Iskander, D.R.)
Abstract	The purpose of this study was to explore the corneal deformation dynamics recorded in raw Scheimpflug images of CorVis ST tonometer to evaluate age- and glaucoma-related changes in corneal biomechanics. This was a prospective study in which 18 subjects were recruited and divided into three equal groups (healthy young, healthy older and older glaucoma group). Up to three measurements by CorVis ST tonometer were acquired on the left eye of each subject. Raw Scheimpflug images of CorVis ST were used to extract changes in anterior and posterior corneal profiles, which were further modeled by a Chebyshev polynomial expansion of optimally determined order. Corneal deformation dynamics were studied via time-varying series of Chebyshev polynomial coefficients, in which three phases of corneal deformation were determined. The first and the last phase of corneal dynamics were fitted with bilinear functions. Further, the slope of each linear trend in the model was tested between the groups. Statistically significant differences were observed in the final return phase of corneal dynamics between the older group of subjects and those of glaucoma subjects indicating possible biomechanical differences in their tissues that could only be observed with minimum applied pressure.
Starting Page	6261
Ending Page	6264
File Size	748076
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7319823
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cornea Biomechanics Chebyshev approximation Biomedical measurement Atmospheric modeling Surface fitting Biological system modeling
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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